基于改进双链量子遗传算法的有限元模型修正  

Finite Element Model Modification Based on Improved Double-chain Quantum Genetic Algorithm

作　　者：陈志远 雷建平[1] 张梓乔 CHEN Zhiyuan;LEI Jianping;ZHANG Ziqiao(School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China)

机构地区：[1]武汉理工大学交通与物流工程学院,武汉430063

出　　处：《武汉理工大学学报（交通科学与工程版）》2022年第3期548-551,共4页Journal of Wuhan University of Technology（Transportation Science & Engineering）

摘　　要：针对遗传法中转角步长函数的不足,采用反正弦函数重新构造转角步长函数,通过测试函数的测试后发现:改进后双链量子遗传算法的搜索精度及鲁棒性均有一定提高,验证了转角步长函数改进的可行性与正确性.以改进后的双链量子遗传算法对基于响应面法的有限元模型进行参数迭代求解,结果表明:修正后各响应误差有了明显的降低、修正后参数接近参数终值,修正效果良好,验证了采用改进双链量子遗传算法对参数迭代求解的可行性.Aiming at the deficiency of the corner step function in genetic algorithm,the arcsine function was used to reconstruct the corner step function.After testing the function,it is found that the search accuracy and robustness of the improved double-stranded quantum genetic algorithm are improved,which verifies the feasibility and correctness of the improvement of the corner step function.The modified double-stranded quantum genetic algorithm was used to iteratively solve the parameters of the finite element model based on response surface method.The results show that the response errors are obviously reduced after the correction,and the corrected parameters are close to the final values of the parameters,and the correction effect is good,which verifies the feasibility of using the improved double-stranded quantum genetic algorithm to iteratively solve the parameters.

关 键 词：改进双链量子遗传算法 响应面法 模型修正 

分 类 号：U448.22[建筑科学—桥梁与隧道工程]